This article originally appeared on Hackernoon and is reproduced with permission. Earlier, widespread automation meant the introduction of service sector jobs or big stupid machines doing repetitive work in factories. That’s not the case a couple of decades down the line, is it? Now there is software that can land

AI has been facing a PR problem. Too often AI has introduced itself as a misogynist, racist and sinister robot. Remember the Microsoft Twitter chatbot named Tay, who was learning to mimic online conversations, but then started to blur out the most offensive tweets? Think of tech companies creating elaborate

If the popular media are to be believed, artificial intelligence (AI) is coming to steal your job and threaten life as we know it. If we do not prepare now, we may face a future where AI runs free and dominates humans in society. The AI revolution is indeed underway. To

iRobot is a US based advanced tech outfit that develops proprietary technology incorporating advanced concepts in “navigation, mobility, manipulation and artificial intelligence to build robots,” that serve three tiers : Home, Security and Remote presence. Now, taking the Home segment further, the company is believed to be working on an

Only a month into the year, and already several of our expert’s predictions for 2015 in big data are coming into fruition. 2015 is certainly looking like the year of AI & automation, with all three of this week’s most-shared news pieces below focusing around prediction and AI. 2015 may,

A laboratory automation system that harnesses artificial intelligence (AI) techniques in order to glean and understand scientific data constant experimentation is called a Robot Scientist. Eve is such a Robot Scientist and if certain U.K. researchers have it right, then Eve might have stumbled upon a possible fighting chance against

Automated code review system startup, Code Climate has raised a $2M round of financing, led by NextView Ventures, joined by Lerer Ventures, Trinity Ventures, and Fuel Capital. NextView co-founder and partner David Beisel wrote in his blog post, “I expected to hear a balanced set of positive and negative feedback,

In 1959, Arthur Samuel defined machine learning as a “Field of study that gives computers the ability to learn without being explicitly programmed”. It’s a science of algorithms and automation; the algorithms “learn” from the dataset, identifying patterns or classifying trends for instance, and then automates output- whether that’s sorting